Tutorial: yolov3

This project provides a guide and code to train your own custom object detection model using the powerful YOLOv3 system. It leverages the Darknet Framework engine and runs the entire Training Process within the Google Colab Environment, allowing you to configure the model structure and dataset details using Configuration Files.

Visual Overview

flowchart TD
    A0["Darknet Framework
"]
    A1["YOLOv3 Model Configuration (.cfg)
"]
    A2["Dataset Configuration (.data, .names, train.txt)
"]
    A3["Training Process
"]
    A4["Google Colab Environment
"]
    A4 -- "Sets up" --> A0
    A4 -- "Prepares" --> A1
    A4 -- "Prepares" --> A2
    A0 -- "Executes" --> A3
    A3 -- "Uses" --> A1
    A3 -- "Uses" --> A2

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Chapters

1. Google Colab Environment
2. Dataset Configuration (.data, .names, train.txt)
3. YOLOv3 Model Configuration (.cfg)
4. Darknet Framework
5. Training Process

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